ITM Web Conf.
Volume 47, 20222022 2nd International Conference on Computer, Communication, Control, Automation and Robotics (CCCAR2022)
|Number of page(s)||6|
|Section||Control Technology and Robotics Technology|
|Published online||23 June 2022|
Application of AHP in WUI fire risk assessment
Fire Protection Engineering Academy, China People’s Police University, Hebei, China
* Corresponding author: firstname.lastname@example.org
In order to achieve the purpose of assessing the fire risk in the WUI, this paper digitizes the fire risk influencing factors based on the remote sensing data, meteorological data and vegetation information of the southwest corner of Qingyuan Mountain in Quanzhou City, and obtains a total of 8 indicators in 4 categories of meteorological factors, vegetation factors, terrain factors and human factors as the primary indicators for fire risk assessment, and divides the 4 categories of factors into natural factors and human factors as the secondary indicators to construct a hierarchical structure model. Spatial modelling was performed by ArcGIS, AHP was used to assess the fire risk in the WUI, and weighted superposition analysis was performed on the burning probabilities calculated from different fire risk factors, and finally the results of fire risk zoning in the forest-town junction domain were obtained. The results showed that the high-risk area mainly existed within the area east of Pu Xian Road to the southwest corner of Qingyuan Mountain. The assessment results show that the method can provide a reference basis for fire risk assessment and zoning in the WUI.
Key words: Wildland-urban interface / AHP / Fire risk assessment / Fire risk area division
© The Authors, published by EDP Sciences, 2022
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